1

Health Machine Learning Jobs in Georgia (NOW HIRING)

... machine learning/artificial intelligence solutions within healthcare or life sciences * Exposure, education, or experience in Human-Computer Interaction (HCI) * Experience working in agile, cloud ...

Associate AI Engineer

Atlanta, GA ยท On-site

$39.09 - $48.56/hr

... machine learning/artificial intelligence solutions within healthcare or life sciences * Exposure, education, or experience in Human-Computer Interaction (HCI) * Experience working in agile, cloud ...

Associate AI Engineer

Atlanta, GA ยท On-site

$80 - $100/hr

... machine learning/artificial intelligence solutions within healthcare or life sciences * Exposure, education, or experience in Human-Computer Interaction (HCI) * Experience working in agile, cloud ...

... health. * Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the organization. * Lead proof-of-concept (POC) initiatives ...

... health. * Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the organization. * Lead proof-of-concept (POC) initiatives ...

... machine learning/artificial intelligence solutions within healthcare or life sciences * Exposure, education, or experience in Human-Computer Interaction (HCI) * Experience working in agile, cloud ...

... machine learning/artificial intelligence solutions within healthcare or life sciences * Exposure, education, or experience in Human-Computer Interaction (HCI) * Experience working in agile, cloud ...

Experience in healthcare, life sciences, finance, retail, or relevant industry domains. * Knowledge of Generative AI, LLMs, NLP, and MLOps frameworks. * Experience deploying machine learning models ...

Lead the development and operationalization of machine learning pipelines, including data ... We insist that health technology is the highest calling for software development. We pride ...

New

Sr. Data Scientist

Alpharetta, GA ยท On-site

$125 - $150/hr

Design, build, and deploy scalable machine learning and generative AI solutions in cloud-based ... Regardless of your working arrangement, we are here to support a healthy work-life balance through ...

New

Lead the development and operationalization of machine learning pipelines, including data ... We insist that health technology is the highest calling for software development. We pride ...

Showing results 41-60

Health Machine Learning information

See Georgia salary details

$21.5K

$36K

$74.3K

How much do health machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for health machine learning in Georgia is $35,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,400.00 and $38,800.00 per year, depending on experience, location, and employer.

What is health machine learning?

Health Machine Learning refers to the application of machine learning techniques and algorithms to healthcare data in order to improve medical decision-making, diagnostics, treatment plans, and patient outcomes. It involves using large amounts of health-related data, such as electronic health records, medical images, and genomic information, to train models that can predict diseases, assist in diagnosis, or personalize patient care. This field bridges computer science, data analytics, and medicine and is rapidly evolving to address complex healthcare challenges.

How do health machine learning professionals collaborate with clinical teams to implement AI solutions in healthcare settings?

Health Machine Learning professionals often work closely with clinicians, data scientists, and IT staff to develop and deploy AI-driven healthcare solutions. Collaboration involves understanding clinical workflows, validating models with real-world patient data, and ensuring that AI tools are both accurate and user-friendly. Regular meetings, cross-disciplinary workshops, and pilot project rollouts are common to ensure that the developed solutions address practical needs while complying with healthcare regulations. This teamwork is crucial for successful integration and adoption of machine learning models in clinical environments.

What are the key skills and qualifications needed to thrive as a health machine learning specialist?

To excel as a Health Machine Learning specialist, you need a strong background in computer science, statistics, and healthcare data, typically supported by degrees in relevant fields and proficiency in machine learning algorithms. Experience with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and knowledge of healthcare data standards (e.g., HL7, FHIR) are crucial, along with certifications like TensorFlow Developer or Data Science Professional. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with clinicians and stakeholders to translate complex data into actionable insights. These skills ensure the development of accurate, ethical, and impactful machine learning solutions that improve healthcare outcomes.

What cities in Georgia are hiring for Health Machine Learning jobs?

Cities in Georgia with the most Health Machine Learning job openings:

Infographic showing various Health Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $35,957 per year, or $17.3 per hour.

Big Data & AI Solutions Architect - Q125

Alpharetta, GA โ€ข On-site

$62.25 - $80/hr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago


Job description

Overview:
Big Data & AI Solutions Architect
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an innovative Big Data & AI Solutions Architect to design integrated data and AI solutions on cloud platforms. This role focuses on architecting data lakes, warehouses, and machine learning systems for enterprise analytics.
Key Responsibilities
  • Architect big data solutions integrating AI and machine learning on cloud platforms like AWS, Azure, or GCP.
  • Design and implement data lakes and data warehouses to support scalable analytics and AI workloads.
  • Lead the integration of machine learning models into big data pipelines for predictive insights.
  • Collaborate with stakeholders to align data architectures with business objectives and AI strategies.
  • Ensure scalability, security, and performance of big data and AI systems in cloud environments.
  • Mentor teams on best practices for designing data-driven architectures with AI capabilities.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience in big data architecture with a focus on AI and machine learning integration.
  • Proficiency in designing data lakes and data warehouses on cloud platforms (AWS, Azure, or GCP).
  • Strong understanding of distributed data systems and machine learning workflows.
  • Experience leading architectural initiatives for big data and AI-driven projects.

Preferred Qualifications
  • Familiarity with advanced tools like Snowflake or Databricks for unified data and AI platforms.
  • Exposure to MLOps practices for deploying and managing AI models in production.
  • Knowledge of cloud cost optimization and security best practices for big data systems.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Big Data, Architect, AI, Machine Learning, AWS, Azure, GCP, Data Lake, Data Warehouse